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Using fuzzy logic for bounded recovery of autonomous agents
Western Michigan University, Department of Electrical and Computer, Kalamazoo, USA .
ABB Industrial Systems AB, ISY/AMC, Västerås; Western Michigan University, Department of Electrical and Computer, Kalamazoo, USA . (AASS)
University of Linköping, Department of Information and Computer Science, Linköping.ORCID iD: 0000-0002-9477-4044
1997 (English)In: 1997 Annual Meeting of the North American Fuzzy Information Processing Society: NAFIPS, New York, USA: IEEE conference proceedings, 1997, 317-322 p.Conference paper, Published paper (Refereed)
Abstract [en]

The solution to the problem of application-independent fault recovery of autonomous agents requires a specification method for the agent's capacity to act outside of its normal operational limits. This paper presents a recovery method based upon the theory of a fuzzy finite state machine. A fuzzy specification is given for the bounds within which an autonomous agent is capable to recover after an unexpected situation has occurred in its environment. It has been shown that the three main components of the recovery problem: fault detection, fault recovery, and the properties of the actuator/sensor gear of an autonomous agent are interrelated. The suggested method can be implemented either by an application-independent software algorithm, or by fuzzy logic hardware

Place, publisher, year, edition, pages
New York, USA: IEEE conference proceedings, 1997. 317-322 p.
National Category
Engineering and Technology Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-39018DOI: 10.1109/NAFIPS.1997.624059ISI: A1997BJ66E00059Scopus ID: 2-s2.0-0031354985OAI: oai:DiVA.org:oru-39018DiVA: diva2:766143
Conference
1997 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 97), New York, USA, Sep 21-24, 1997
Funder
Knowledge Foundation
Available from: 2014-11-26 Created: 2014-11-26 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
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